ArticleDevelopmental cognitive neuroscience2023
Why weight? Analytic approaches for large-scale population neuroscience data.
Article in Developmental cognitive neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
40 citing papers in PubMed, 46 citations in OpenAlex.
- Nucleus Accumbens and Ventral Tegmental Area Functional Connectivity as a Marker of Reward Sensitivity in Infancy.Developmental science · 2026Article
- Multisystem Environmental Factors Elucidate Shared and Distinct Associations With Brain and Behavior in Adolescents.Journal of the American Academy of Child and Adolescent Psychiatry · 2026Article
- Divergent Multimodal Age-Association Profiles Across the Human Brain.Nature communications · 2026Article
- ABCD-ReproNim: An educational program for responsible and reproducible analyses of ABCD data.Developmental cognitive neuroscience · 2026Article
- Prenatal and early-life determinants of neurodevelopment: A decade of discoveries and new directions in ABCD.Developmental cognitive neuroscience · 2026Review
- From school climate to brain development: What the ABCD study reveals about the educational context of adolescence.Developmental cognitive neuroscience · 2026Review
- The State of Motion: Demographic and Representational Consequences of Motion-Based Exclusion in FMRI.bioRxiv : the preprint server for biology · 2026Article
- Weighted prevalence of biochemically verified substance use in healthy adolescents across the USA.Addiction (Abingdon, England) · 2026Article
- The Adolescent Brain Cognitive Development (ABCD) Study: Ten years of statistical and methodological contributions.Developmental cognitive neuroscience · 2026Article
- Cerebellar pathway diffusion MRI measures are linked to core autism symptoms in early adolescents aged 9 to 11 years.Brain structure & function · 2026Article
- Ambient pollution components and sources are associated with hippocampal architecture and memory in pre-adolescents.BMC medicine · 2026Article
- Differences in patterns of attention deficit/hyperactivity disorder medication use in US children.JCPP advances · 2026Article
- Childhood environment clusters reveal heterogeneous associations between large-scale brain networks and youth mental health symptoms.Psychological medicine · 2026Article
- Parallel contributions of socioeconomic status and bilingual experiences on executive function and the brain in young children.Brain and language · 2026Article
- Considerations When Accounting for Race and Ethnicity in Studies of Poverty and Neurodevelopment.Journal of the American Academy of Child and Adolescent Psychiatry · 2026Article
- Cognitive Resilience and Vulnerability to Socioeconomic Disadvantage: Predictors Across Individual, Family, School, and Neighborhood Contexts.Developmental science · 2026Article
- Eviction, inability to pay rent, and youth mental health: a fixed effects study.American journal of epidemiology · 2025Article
- Prevalence of Biochemically-Verified Substance Use in Healthy Adolescents Across the United States: Hair Toxicology Results in the ABCD Study.medRxiv : the preprint server for health sciences · 2025Article
- Anaemia prevalence and risk factors among nonpregnant and pregnant women of reproductive age in Ghana: an analysis of the Ghana demographic and health survey data.Tropical medicine and health · 2025Article
- Missing data approaches for longitudinal neuroimaging research: Examples from the Adolescent Brain and Cognitive Development (ABCD) Study®.Developmental cognitive neuroscience · 2025Review
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
Population-based neuroimaging studies that feature complex sampling designs enable researchers to generalize their results more widely. However, several theoretical and analytical questions pose challenges to researchers interested in these data. The following is a resource for researchers interested in using population-based neuroimaging data. We provide an overview of sampling designs and describe the differences between traditional model-based analyses and survey-oriented design-based analyses. To elucidate key concepts, we leverage data from the Adolescent Brain Cognitive Development℠ Study (ABCD Study®), a population-based sample of 11,878 9-10-year-olds in the United States. Analyses revealed modest sociodemographic discrepancies between the target population of 9-10-year-olds in the U.S. and both the recruited ABCD sample and the analytic sample with usable structural and functional imaging data. In evaluating the associations between socioeconomic resources (i.e., constructs that are tightly linked to recruitment biases) and several metrics of brain development, we show that model-based approaches over-estimated the associations of household income and under-estimated the associations of caregiver education with total cortical volume and surface area. Comparable results were found in models predicting neural function during two fMRI task paradigms. We conclude with recommendations for ABCD Study® users and users of population-based neuroimaging cohorts more broadly.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.